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Shraddha Bharuka

@BharukaShraddha • 36,024 subscribers

Content Creator | Helping brands grow organically | Full-Stack Dev | Built AI tools & real-time apps

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Ran Atria Dawn Preview (Atria ASI) on a real task tonight, not a demo script. Gave it one line through Codex: build a CLI that pulls my last 10 X posts' engagement stats into a CSV. Back in 2 minutes. It wrote the script, mock-tested the output, then wrote and ran its own unit tests. All passed.

Ran Atria Dawn Preview (Atria ASI) on a real task tonight, not a demo script. Gave it one line through Codex: build a CLI that pulls my last 10 X posts' engagement stats into a CSV. Back in 2 minutes. It wrote the script, mock-tested the output, then wrote and ran its own unit tests. All passed.

26,166 görüntüleme

✅ 500+ UDEMY PREMIUM PAID COURSES FOR FREE! 🤯 🔋Part 1 - 🔋Part 2 - 🔋Part 3 - 🔋Part 4 - 🔋Part 5 -

✅ 500+ UDEMY PREMIUM PAID COURSES FOR FREE! 🤯 🔋Part 1 - 🔋Part 2 - 🔋Part 3 - 🔋Part 4 - 🔋Part 5 -

12,108 görüntüleme

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Tried ScienceBuddy, a free AI research workspace from PhAI Labs. Asked it in plain English to look up the ADMET properties of ibuprofen and report key values. It planned the work, queried PubChem and PubMed, and returned absorption, protein binding, CYP2C9 metabolism, half-life and clearance, with sources for each value and notes on where the literature disagrees. The part I liked: the Trajectory tab. Every tool call and step is shown in order, so you can see exactly what it searched instead of taking the answer on faith. Result files can also be downloaded for your own checking. It integrates 224 scientific tools across genomics, molecular and cancer biology, pharmacology, bioimaging and literature retrieval. Web-based, no local setup, no code. Free to try: ScienceBuddy is currently a Preview release. Please verify results yourself before using them in research. #ScienceBuddy #PhAILabs #AIforScience

Tried ScienceBuddy, a free AI research workspace from PhAI Labs. Asked it in plain English to look up the ADMET properties of ibuprofen and report key values. It planned the work, queried PubChem and PubMed, and returned absorption, protein binding, CYP2C9 metabolism, half-life and clearance, with sources for each value and notes on where the literature disagrees. The part I liked: the Trajectory tab. Every tool call and step is shown in order, so you can see exactly what it searched instead of taking the answer on faith. Result files can also be downloaded for your own checking. It integrates 224 scientific tools across genomics, molecular and cancer biology, pharmacology, bioimaging and literature retrieval. Web-based, no local setup, no code. Free to try: ScienceBuddy is currently a Preview release. Please verify results yourself before using them in research. #ScienceBuddy #PhAILabs #AIforScience

Shraddha Bharuka

68,463 görüntüleme • 17 gün önce

Most apps look “done” in the editor. But what actually happens when a real user clicks through the app? I connected my PropertyBazaar project to Replay and ran Replay QA on it. It found a real issue with my newsletter form, no onSubmit handler, no subscription request, and no proper app-level feedback. What I liked is that Replay QA didn't just flag the bug. It showed the reproduction steps, evidence, root cause, and debugging context. And it goes beyond a one-time QA run: → Run QA on localhost while you're still building → Connect GitHub and run checks on PRs before merging → Share findings with teammates and Mention them → Send confirmed bugs to your existing issue tracker So instead of finding problems after shipping, you can catch what you missed while you're still building and reviewing changes. I recorded the workflow using my own project 👇 Check it out on Product Hunt:

Most apps look “done” in the editor. But what actually happens when a real user clicks through the app? I connected my PropertyBazaar project to Replay and ran Replay QA on it. It found a real issue with my newsletter form, no onSubmit handler, no subscription request, and no proper app-level feedback. What I liked is that Replay QA didn't just flag the bug. It showed the reproduction steps, evidence, root cause, and debugging context. And it goes beyond a one-time QA run: → Run QA on localhost while you're still building → Connect GitHub and run checks on PRs before merging → Share findings with teammates and Mention them → Send confirmed bugs to your existing issue tracker So instead of finding problems after shipping, you can catch what you missed while you're still building and reviewing changes. I recorded the workflow using my own project 👇 Check it out on Product Hunt:

Shraddha Bharuka

56,228 görüntüleme • 1 ay önce

Last month: 6+ hours burned typing replies on emails, Slack, DMs, threads. Pure keyboard slavery. Wispr Flow: Speak naturally → perfect text, zero cleanup. Got most of my time back. Faster responses, sharper focus, actual energy left. Game-changer 👇

Last month: 6+ hours burned typing replies on emails, Slack, DMs, threads. Pure keyboard slavery. Wispr Flow: Speak naturally → perfect text, zero cleanup. Got most of my time back. Faster responses, sharper focus, actual energy left. Game-changer 👇

Shraddha Bharuka

101,821 görüntüleme • 7 ay önce

INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 3 hours with this. Claude Code FULL COURSE that teaches you how to BUILD apps, teams, and anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and Bookmark it now.

INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 3 hours with this. Claude Code FULL COURSE that teaches you how to BUILD apps, teams, and anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and Bookmark it now.

Shraddha Bharuka

34,961 görüntüleme • 3 ay önce

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture it's the clearest explanation I've seen of how ChatGPT and Claude actually work useful whether you've never touched AI in your life or have been using it every day for the past year I took the key ideas and turned them into a practical guide on how to actually get 100% out of Claude find it below

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture it's the clearest explanation I've seen of how ChatGPT and Claude actually work useful whether you've never touched AI in your life or have been using it every day for the past year I took the key ideas and turned them into a practical guide on how to actually get 100% out of Claude find it below

Shraddha Bharuka

12,447 görüntüleme • 3 ay önce

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